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Positive matches

• 0.049 + - Interdisciplinary research
• 0.039 + - Policy
• 0.017 + - Continuous embedding
• 0.011 + - Information theory
• 0.011 + - Communication
• 0.011 + - Paper/MacKay1991
• 0.009 + - PyTorch-BigGraph
• 0.009 + - GraphSAGE
• 0.008 + - Research advices
• 0.007 + - Software engineering in research
• 0.007 + - Google Drive
• 0.007 + - https://www.authorea.com
• 0.007 + - GloVe
• 0.007 + - https://editorially.com
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• 0.006 + - NLP
• 0.006 + - StanfordNLP
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - word2vec
• 0.005 + - Software engineering

Negative matches

• 0.009 + - Residual leanrning
• 0.005 + - Deep learning
• 0.004 + - Paper/Gatys2015
• 0.003 + - Machine learning
• 0.002 + - Residual Learning
• 0.002 + - Deep generative models
• 0.002 + - Artificial neural network
• 0.001 + - Meta learning
• 0.001 + - Archetype
• 0.000 + - Theano
• 0.000 + - Paper/Cooijmans2016
• 0.000 + - Paper/Hochreiter1997
• 0.000 + - Neural doodle
• 0.000 + - Generative adversarial networks